readCLM <- function(DIN_LOC_ROOT) {
# read CLM components
# hist_avgflag_pertape <- 'A' # 'A' (average over history period) / I believe this is default anyway
# hist_mfilt # per tape series maximum number of time samples
# hist_nhtfrq <- c(0,-24,-24,-24,-24,-24) # default 0:monthly
arg <- ls()
# lnd_in: &clm_inparm [$CASEROOT/Builconf/clmconf]
albice <- c(0.80,0.55) # CLM: Physics Settings:: Visible and Near-infrared albedo's for glacier ice
#co2_type <- 'diagnostic' # CLM: Physics Settings:: ['constant','diagnostic' or 'prognostic']
#co2_ppmv <- 284.7 # CLM: Physics Settings:: just used for co2_type==constant
create_crop_landunit <- FALSE # CLM: Physics Settings:: If TRUE, separate the vegetated landunit into a crop landunit and a natural vegetation landunit
dtime <- 1800 # CLM: Physics Settings:: time step [s]
#fatmlndfrc <- file.path(DIN_LOC_ROOT,'share','domains','domain.lnd.fv1.9x2.5_gx1v6.090206.nc') # CLM: Input Datasets:: land fraction | explicit user_nl_cl except
#finidat <- 'b40.1850.track1.2deg.003.clm2.r.0501-01-01-00000.nc' # CLM: Input Datasets:: initial conditions file
#fpftcon <- file.path(DIN_LOC_ROOT,'lnd','clm2','pftdata','pft-physiology.clm40.c130424.nc') # CLM: Input Datasets:: plant function type (PFT) constants
#fsnowaging <- file.path(DIN_LOC_ROOT,'lnd','clm2','snicardata','snicar_drdt_bst_fit_60_c070416.nc') # CLM: Input Datasets:: SNICAR snow aging data
#fsnowoptics <- file.path(DIN_LOC_ROOT,'lnd','clm2','snicardata','snicar_optics_5bnd_c090915.nc') # CLM: Input Datasets:: SNICAR optical data
#fsurdat <- file.path(DIN_LOC_ROOT,'lnd','clm2','surfdata','surfdata_1.9x2.5_simyr1850_c091108.nc') # CLM: Input Datasets:: surface data file
maxpatch_glcmec <- 0 # CLM: Physics Settings:: Number of multiple elevation classes over glacier points.
nsegspc <- 20 # CLM: Decomposition Settings:: [20 is default] number of segments per clump for decomposition
urban_hac <- 'ON_WASTEHEAT' # CLM: Physics Settings:: ['OFF','ON','ON_WASTEHEAT']
urban_traffic <- FALSE # CLM: Physics Settings:: Currently NOT implemented
# lnd_in: &ndepdyn_nml
ndepmapalgo <- 'bilinear' # CLM: input datasets:: mapping method for nitrogen deposition
#stream_fldfilename_ndep <- file.path(DIN_LOC_ROOT,'lnd','clm2','ndepdata','fndep_clm_hist_simyr1849-2006_1.9x2.5_c100428.nc') # CLM: input datasets:: filename of input stream for nitrogen deposition
#stream_year_first_ndep <- 1850 # CLM: input datasets:: First year to loop over for Nitrogen Deposition data
lnames <- ls()
lnames <- lnames[!(lnames %in% c('arg',arg))]
lstgen <- paste(lnames,'=',lnames,sep='',collapse=', ')
lstgen <- paste('x <- list(',lstgen,')',sep='')
eval(parse(text=lstgen))
return(x)
}
M$CLM <- readCLM(envrun$DIN_LOC_ROOT)
rm(readCLM)
# exceptions described in user_nl_clm
CLMexceptions <- c('co2_ppmv','fatmlndfrc','dtime','fatmlndfrc','finidat','glc_grid','glc_smb','maxpath_glcmec')
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